Yao Gang, Xie Chao, Zhang Renyong, Hong Yuqian, Duan Zhongcheng
School of Architecture and Design, China University of Mining and Technology, Xuzhou, 221116, Jiangsu Province, People's Republic of China.
Sci Rep. 2025 Apr 29;15(1):15085. doi: 10.1038/s41598-025-97838-y.
As environmental concerns continue to rise, scholars worldwide are increasingly focusing on energy efficiency in rural energy use. This study explores the energy efficiency potential of rural households in China, aiming to identify the key factors that influence this potential through correlation analysis. By utilizing multiple regression analysis, the study investigates the relationship between these factors and household characteristics. The research is based on rural areas in central Jiangsu Province, China, specifically targeting near and far residents to assess variations in energy-saving potential across different household types. The research findings indicate that: (1) The residential energy-saving potential of near suburban residents is primarily influenced by PC, ER, PR and education, with PR having the most significant impact. (2) The residential energy-saving potential of far suburban residents is mainly influenced by ER, PR, and EC, with EC having the most significant impact. (3) For all residents, PR, EC, SE, and GP significantly influence their residential energy-saving potential, with PR and EC having the most substantial impact. Based on these observations, targeted policy recommendations are proposed.
随着环境问题日益突出，全球学者越来越关注农村能源使用中的能源效率。本研究探讨了中国农村家庭的能源效率潜力，旨在通过相关性分析确定影响这一潜力的关键因素。通过多元回归分析，该研究调查了这些因素与家庭特征之间的关系。该研究以中国江苏省中部农村地区为基础，特别针对远近居民，以评估不同家庭类型在节能潜力方面的差异。研究结果表明：（1）近郊居民的住宅节能潜力主要受电脑、能源效率、价格比率和教育程度的影响，其中价格比率影响最为显著。（2）远郊居民的住宅节能潜力主要受能源效率、价格比率和能源消费的影响，其中能源消费影响最为显著。（3）对于所有居民来说，价格比率、能源消费、节能意识和绿色偏好显著影响他们的住宅节能潜力，其中价格比率和能源消费影响最为显著。基于这些观察结果，提出了有针对性的政策建议。
